Adaboost.MRT: Boosting regression for multivariate estimation
Authors:
Open Access
- 17 September 2014
- journal article
- Published by Sciedu Press in Artificial Intelligence Research
- Vol. 3 (4) , p64
Abstract
Adaboost.MRT: Boosting regression for multivariate estimationKeywords
This publication has 18 references indexed in Scilit:
- Evolutionary extreme learning machine ensembles with size controlNeurocomputing, 2013
- A noise-detection based AdaBoost algorithm for mislabeled dataPattern Recognition, 2012
- Regression-based intensity estimation of facial action unitsImage and Vision Computing, 2012
- Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning toolsEnergy and Buildings, 2012
- Cost-sensitive boosting for classification of imbalanced dataPattern Recognition, 2007
- Creating diversity in ensembles using artificial dataInformation Fusion, 2005
- Ensembling neural networks: Many could be better than allArtificial Intelligence, 2002
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and RandomizationMachine Learning, 2000
- Improved Boosting Algorithms Using Confidence-rated PredictionsMachine Learning, 1999
- A desicion-theoretic generalization of on-line learning and an application to boosting1995